New Talent Signals: Shiny New Objects or a Brave New World?

By Tomas Chamorro-Premuzic, Dave Winsborough, R. Sherman, Robert P. Hogan. Industrial and Organizational Psychology, 2016

156 citations recorded by the source corpus.

Subfields: Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/a0d8816e38ba864fe5fe3e314337e942539ed7cd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Organizational Behavior and Human Resource Management

1. Cornelius J. Konig
2. Cynthia C. S. Liem
3. Achmadnoer Sukma Wicaksana
4. Marise Ph. Born

Citations in the corpus

• Psychology Meets Machine Learning: Interdisciplinary Perspectives on Algorithmic Job Candidate Screening (2018, background): “Recent technological developments have opened the door to measuring personality in innovative and possibly more valid ways, such as via Facebook behavior or serious games (Chamorro-Premuzic et al. 2018).”
• Mitigating bias in algorithmic hiring: evaluating claims and practices (2019, background): “Psychologists have developed extensive standards to guide assessment creators in this process [36]; however, modern assessment vendors are pushing the boundaries of assessment formats far beyond the pen-and-paper tests of old, often with little regulatory oversight [19].”
• Examining Digital Interviews for Personnel Selection: Applicant Reactions and Interviewer Ratings (2017, unknown): “Consequently, organizations seem to be highly interested in this type of interview, and digital interviews are described as one of the rising stars in personnel selection practice (Brenner et al., 2016; Chamorro-Premuzic et al., 2016; Schmerling, 2017).”